Human saliva metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB16375 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR502934_1.fastq.gz | Fastqsanger.gz | |||
| DRR502934_2.fastq.gz | Fastqsanger.gz | |||
| DRR502935_1.fastq.gz | Fastqsanger.gz | |||
| DRR502935_2.fastq.gz | Fastqsanger.gz | |||
| DRR502936_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 184 |
Similar Datasets
Project description:Background: The microbiome is increasingly being linked to cancer risk. Little is known about the lung and oral cavity microbiomes in healthy smokers (SM), and even less for electronic cigarette (EC) users, compared healthy never-smokers (NS). Methods: In a cross-sectional pilot study of SM (N=8), EC users (N=10) and NS (N=10) saliva and bronchoscopy-collected bronchoalveolar lavage samples were collected. Bacteria species were identified through metatranscriptome profiling by RNA-sequencing to study associations with the lung and oral microbiome. Pairwise comparisons and linear modeling was assessed with false discovery rates <0.1. Results: Total bacterial load was similar for the SM, EC users and NS, and there was no differences in the bacterial diversity across groups. In the lung, there were 44 bacterial species that were statistically significantly different for SM/NS, 80% of which were decreased in the SM. There were 12 bacterial species that were different for SM/EC users, all of which were decreased, 10 of which were also identified in the SM/NS comparison. The 2 bacterial species unique to SM/EC comparison were Neisseria sp. KEM232 and Curvibacter sp. AEP1-3. From the top 5 decreased species in SM/EC, 3 were also identified in the SM/NS comparison (Neisseria elongata, Neisseria sicca, and Haemophilus parainfluenzae) and 2 of these were unique to the SM/EC comparison (Neisseria zoodegmatis and Ottowia sp. oral taxon 894). There were 8 species increased in SM compared to NS, none of which are known to be clinically significant. In the oral microbiome, 152 bacteria species were differentially abundant for the SM/NS analysis, and only 17 for the EC/NS comparison, all which were also present in SM/NS comparisons. There were 21 bacteria that were differentially abundant in both the lung and oral cavity for SM and NS, 95% also were decreased in the SM. Conclusion: Smoking and EC use do not appear to materially affect the lung microbiome, although differences are noted of unclear clinical significance. Most differentially abundant bacteria decreased, which may be due to a toxic effect of cigarette smoke, including a change in humidity or heating. Given the low number of overlapping oral and lung microbes, the oral microbiome does not appear to be a good surrogate for smoking-related effects in the lung.
2022-07-13 | GSE180785 | GEO
Project description:Our group recently transcriptomically characterized coculture growth between Streptococcus mutans and several species of commensal streptococci (Rose et al, 2023). However, these experiments were carried out in our lab-based experimental medium, tryptone and yeast extract (TY-). To understand whether culturing these species within a medium that more closely mimics their natural environment alters the interaction, we evaluated both monoculture and coculture growth between the dental caries pathogen Streptococcus mutans and oral commensal species Streptococcus oralis in a half TY- / half human saliva mix that was optimally chosen based on our initial characterization of oral streptococci behaviors in medium mixes containing saliva. Our results surprising show that inclusion of saliva enhances the competition of Streptococcus mutans against commensal streptococci through upregulation of carbohydrate uptake and glycolytic pathways.
2023-08-22 | GSE239483 | GEO
Project description:Periodontitis patients often develop bacteremia, but there has been little evidence showing that oral bacteria translocate into other organs. We found that bacterial colony formation occurs in a culture of liver and spleen cells of periodontitis-induced mice, and the bacterial species detected in the liver and spleen were found in the oral cavity as well, but not in fecal samples, indicating systemic dissemination of oral bacteria during the breakdown of the oral barrier.
2018-01-26 | GSE109664 | GEO
Project description:Using a high-density tiling array containing 25-mer oligonucleotides at the resolution of one every four base pairs across the entire genome, we developed In vivo Protein Occupancy Display (IPOD), a technology that reveals protein occupancy across an entire bacterial chromosome at the resolution of individual binding sites. Application to Escherichia coli reveals thousands of protein occupancy peaks, highly enriched within and in close proximity to non-coding regulatory regions.
2009-09-01 | GSE16414 | GEO
Project description:The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. Thus, the purpose of the present investigation was to compare metaproteomic profiles of saliva in oral health and disease. Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. Samples were analyzed by means of shotgun proteomics. 4161 different proteins were recorded out of which 1946 and 2090 were of bacterial and human origin respectively. The human proteomic profile displayed significant overexpression of the complement system and inflammatory mediators in periodontitis and dental caries. Bacterial proteomic profiles and functional annotation were very similar in health and disease. Data revealed multiple potential salivary proteomic biomarkers of oral disease. In addition, comparable bacterial functional profiles were observed in periodontitis, dental caries and oral health, which suggest that the salivary microbiota predominantly thrives in a planktonic state expressing no characteristic disease-associated metabolic activity. Future large-scale longitudinal studies are warranted to reveal the full potential of proteomic analysis of saliva as a biomarker of oral health and disease.
2017-03-29 | MSV000080763 | MassIVE
Project description:The study of 5-hydroxylmethylcytosines (5hmC), the sixth base of the mammalian genome, as an epigenetic mark has been hampered by a lack of method to map it at single-base resolution. Previous affinity purification-based methods could not precisely locate 5hmC nor accurately determine its relative abundance at each modified site. We here present a genome-wide approach for mapping 5hmC at base resolution. Application of this new method to the embryonic stem cells not only confirms widespread distribution of 5hmC in mammalian genome, but also reveals a strong sequence bias and strand asymmetry at sites of 5hmC. Additionally, the relative abundance of 5hmC varies significantly depending on the types of functional sequences, suggesting different mechanisms for 5hmC deposition and maintenance. Furthermore, we observe high levels of 5hmC and reciprocally low levels of 5mC at transcription factor binding sites, revealing a dynamic DNA methylation process at cis-regulatory elements. Base resolution sequencing of 5 hydroxymethylcytosine in human and mouse embryonic stem cells
2012-05-16 | E-GEOD-36173 | biostudies-arrayexpress
Project description:Dried saliva spot (DSS) sampling is a minimally invasive extraction technique that allows for the spatial mapping of salivary protein distribution in the oral cavity. In conjunction with untargeted nanoLC-Orbitrap-MS/MS analysis, we used DSS to compare the unstimulated proteomes secreted by the parotid and submandibular/sublingual salivary glands
2019-09-04 | PXD012792 | Pride
Project description:We have designed and experimentally validated the BactoChip, a 60-mer oligonucleotide microarray for simultaneous detection and quantification of multiple bacterial species of clinical interest. The Bactochip microarray targets a novel set of high-resolution marker genes, those genes that most unequivocally characterized each bacterial species. The accuracy of the BactoChip microarray was evaluated using the labeled total DNA of single bacterial species at different concentrations (from 65ng to more than 250ng). The specificity of the developed array was further validated using mixed cultures containing up to 15 different bacterial species in even or staggered amount. We employed the Agilent 'Custom HD-CGH 8x15k Array" (catalogue number: G4427A) and the Agilent'Genomic DNA ULS labeling Kit" (catalogue number: 5190-0419). The microarray successfully distinguished among bacterial species from 21 different genera. The BactoChip additionally proved accurate in determining species-level relative abundances over a 10-fold dynamic range in complex bacterial communities. In combination with the continually increasing number of sequenced bacterial genomes, future iterations of the technology could enable to highly accurate clinically-oriented tools for rapid assessment of bacterial community composition and relative abundances.
2011-12-25 | E-MEXP-3420 | biostudies-arrayexpress
Project description:Women's oral microbiome in hyposalivation aging-related and disease
| PRJNA983278 | ENA
Project description:Microarrays have become a powerful tool for DNA-based molecular diagnostics and identification of pathogens. However, most of them target a limited range of organisms and are generally based on only one or very few genes for organism identification. Although such microarrays are proven tools for species identification, they suffer from the fact that identification is only possible for organisms for which probes were specifically pre-developed. Furthermore, this approach often leads to problems with taxonomic-level resolution with insufficient diagnostic differences between closely related taxa found in the commonly used DNA sequences. An alternative strategy is to use the hybridisation pattern generated by many different anonymous markers distributed over the entire genome for identification based on comparison to a type database. We realised this strategy using a high density microarray containing 95,000 different 13-mer probes. Here, we demonstrate the specificity of our microarray based on results obtained with nine different bacterial species and strains. The hybridisation patterns allowed clear differentiation at the strain and even variant level. The reproducibility of our system was high as shown by high correlation coefficients between replicates, despite the occurrence of mismatch hybridisation. The results indicate the potential for identification of all bacterial taxa at the subspecies level using our universal microarray.
2010-03-16 | GSE15391 | GEO